Dataset statistics
| Number of variables | 20 |
|---|---|
| Number of observations | 706 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 110.4 KiB |
| Average record size in memory | 160.2 B |
Variable types
| Numeric | 10 |
|---|---|
| Categorical | 9 |
| Unsupported | 1 |
age is highly correlated with sex and 16 other fields | High correlation |
sex is highly correlated with age and 12 other fields | High correlation |
cp is highly correlated with age and 16 other fields | High correlation |
trestbps is highly correlated with age and 15 other fields | High correlation |
htn is highly correlated with age and 14 other fields | High correlation |
chol is highly correlated with age and 16 other fields | High correlation |
fbs is highly correlated with age and 16 other fields | High correlation |
pro is highly correlated with age and 16 other fields | High correlation |
thalach is highly correlated with age and 16 other fields | High correlation |
thalrest is highly correlated with age and 16 other fields | High correlation |
tpeakbps is highly correlated with age and 16 other fields | High correlation |
tpeakbpd is highly correlated with age and 16 other fields | High correlation |
trestbpd is highly correlated with age and 15 other fields | High correlation |
exang is highly correlated with age and 16 other fields | High correlation |
xhypo is highly correlated with age and 16 other fields | High correlation |
oldpeak is highly correlated with age and 16 other fields | High correlation |
num is highly correlated with age and 16 other fields | High correlation |
restecg is highly correlated with df_index and 15 other fields | High correlation |
df_index is highly correlated with restecg | High correlation |
df_index has unique values | Unique |
dataset is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
chol has 9 (1.3%) zeros | Zeros |
oldpeak has 215 (30.5%) zeros | Zeros |
Reproduction
| Analysis started | 2022-10-17 05:22:15.215315 |
|---|---|
| Analysis finished | 2022-10-17 05:22:23.573877 |
| Duration | 8.36 seconds |
| Software version | pandas-profiling v3.3.0 |
| Download configuration | config.json |
| Distinct | 706 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 405.4206799 |
| Minimum | 0 |
|---|---|
| Maximum | 899 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 39.5 |
| Q1 | 198.25 |
| median | 389.5 |
| Q3 | 567.75 |
| 95-th percentile | 839.75 |
| Maximum | 899 |
| Range | 899 |
| Interquartile range (IQR) | 369.5 |
Descriptive statistics
| Standard deviation | 248.93543 |
|---|---|
| Coefficient of variation (CV) | 0.614017593 |
| Kurtosis | -0.962561271 |
| Mean | 405.4206799 |
| Median Absolute Deviation (MAD) | 185 |
| Skewness | 0.2469055446 |
| Sum | 286227 |
| Variance | 61968.84831 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1 | 0.1% |
| 568 | 1 | 0.1% |
| 504 | 1 | 0.1% |
| 505 | 1 | 0.1% |
| 506 | 1 | 0.1% |
| 507 | 1 | 0.1% |
| 508 | 1 | 0.1% |
| 509 | 1 | 0.1% |
| 510 | 1 | 0.1% |
| 511 | 1 | 0.1% |
| Other values (696) | 696 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 899 | 1 | |
| 897 | 1 | |
| 895 | 1 | |
| 894 | 1 | |
| 893 | 1 | |
| 892 | 1 | |
| 891 | 1 | |
| 890 | 1 | |
| 889 | 1 | |
| 888 | 1 |
| Distinct | 48 |
|---|---|
| Distinct (%) | 6.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.10623229 |
| Minimum | 1 |
|---|---|
| Maximum | 76 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 51 |
| 95-th percentile | 63 |
| Maximum | 76 |
| Range | 75 |
| Interquartile range (IQR) | 50 |
Descriptive statistics
| Standard deviation | 25.54670407 |
|---|---|
| Coefficient of variation (CV) | 1.01754432 |
| Kurtosis | -1.70644901 |
| Mean | 25.10623229 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.2422316204 |
| Sum | 17725 |
| Variance | 652.6340888 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=48)
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 54 | 23 | 3.3% |
| 51 | 17 | 2.4% |
| 52 | 16 | 2.3% |
| 41 | 16 | 2.3% |
| 42 | 14 | 2.0% |
| 55 | 13 | 1.8% |
| 44 | 13 | 1.8% |
| 53 | 12 | 1.7% |
| 57 | 12 | 1.7% |
| Other values (38) | 209 |
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 28 | 1 | 0.1% |
| 29 | 2 | 0.3% |
| 30 | 1 | 0.1% |
| 31 | 1 | 0.1% |
| 32 | 3 | 0.4% |
| 33 | 1 | 0.1% |
| 34 | 5 | 0.7% |
| 35 | 5 | 0.7% |
| 36 | 4 | 0.6% |
| Value | Count | Frequency (%) |
| 76 | 1 | 0.1% |
| 75 | 1 | 0.1% |
| 74 | 1 | 0.1% |
| 71 | 3 | |
| 70 | 1 | 0.1% |
| 69 | 2 | 0.3% |
| 68 | 3 | |
| 67 | 3 | |
| 66 | 6 | |
| 65 | 4 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2118 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 1.0 |
| 4th row | 1.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 577 | |
| 0.0 | 129 | 18.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.0 | 577 | |
| 0.0 | 129 | 18.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 835 | |
| . | 706 | |
| 1 | 577 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1412 | |
| Other Punctuation | 706 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 835 | |
| 1 | 577 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 706 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2118 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 835 | |
| . | 706 | |
| 1 | 577 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2118 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 835 | |
| . | 706 | |
| 1 | 577 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 1.0 | |
|---|---|
| 2.0 | |
| 3.0 | |
| 4.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2118 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 2.0 |
| 4th row | 1.0 |
| 5th row | 3.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 384 | |
| 2.0 | 121 | 17.1% |
| 3.0 | 109 | 15.4% |
| 4.0 | 92 | 13.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.0 | 384 | |
| 2.0 | 121 | 17.1% |
| 3.0 | 109 | 15.4% |
| 4.0 | 92 | 13.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 706 | |
| 0 | 706 | |
| 1 | 384 | |
| 2 | 121 | 5.7% |
| 3 | 109 | 5.1% |
| 4 | 92 | 4.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1412 | |
| Other Punctuation | 706 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 706 | |
| 1 | 384 | |
| 2 | 121 | 8.6% |
| 3 | 109 | 7.7% |
| 4 | 92 | 6.5% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 706 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2118 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| . | 706 | |
| 0 | 706 | |
| 1 | 384 | |
| 2 | 121 | 5.7% |
| 3 | 109 | 5.1% |
| 4 | 92 | 4.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2118 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| . | 706 | |
| 0 | 706 | |
| 1 | 384 | |
| 2 | 121 | 5.7% |
| 3 | 109 | 5.1% |
| 4 | 92 | 4.3% |
| Distinct | 44 |
|---|---|
| Distinct (%) | 6.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 63.96600567 |
| Minimum | 1 |
|---|---|
| Maximum | 190 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 130 |
| 95-th percentile | 150 |
| Maximum | 190 |
| Range | 189 |
| Interquartile range (IQR) | 129 |
Descriptive statistics
| Standard deviation | 65.50782731 |
|---|---|
| Coefficient of variation (CV) | 1.024103766 |
| Kurtosis | -1.841145132 |
| Mean | 63.96600567 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.1453953077 |
| Sum | 45160 |
| Variance | 4291.275438 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=44)
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 120 | 69 | 9.8% |
| 130 | 58 | 8.2% |
| 140 | 43 | 6.1% |
| 110 | 23 | 3.3% |
| 150 | 20 | 2.8% |
| 160 | 15 | 2.1% |
| 125 | 9 | 1.3% |
| 138 | 8 | 1.1% |
| 112 | 7 | 1.0% |
| Other values (34) | 93 | 13.2% |
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 94 | 2 | 0.3% |
| 98 | 1 | 0.1% |
| 100 | 6 | 0.8% |
| 101 | 1 | 0.1% |
| 102 | 2 | 0.3% |
| 104 | 2 | 0.3% |
| 105 | 4 | 0.6% |
| 106 | 2 | 0.3% |
| 108 | 5 | 0.7% |
| Value | Count | Frequency (%) |
| 190 | 1 | 0.1% |
| 180 | 5 | 0.7% |
| 178 | 1 | 0.1% |
| 172 | 1 | 0.1% |
| 170 | 3 | 0.4% |
| 160 | 15 | |
| 156 | 1 | 0.1% |
| 155 | 1 | 0.1% |
| 154 | 1 | 0.1% |
| 152 | 3 | 0.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2118 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 517 | |
| 0.0 | 189 | 26.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.0 | 517 | |
| 0.0 | 189 | 26.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 895 | |
| . | 706 | |
| 1 | 517 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1412 | |
| Other Punctuation | 706 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 895 | |
| 1 | 517 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 706 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2118 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 895 | |
| . | 706 | |
| 1 | 517 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2118 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 895 | |
| . | 706 | |
| 1 | 517 |
| Distinct | 160 |
|---|---|
| Distinct (%) | 22.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 115.0750708 |
| Minimum | 0 |
|---|---|
| Maximum | 564 |
| Zeros | 9 |
| Zeros (%) | 1.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 230 |
| 95-th percentile | 305.75 |
| Maximum | 564 |
| Range | 564 |
| Interquartile range (IQR) | 229 |
Descriptive statistics
| Standard deviation | 125.5176347 |
|---|---|
| Coefficient of variation (CV) | 1.090745666 |
| Kurtosis | -1.336156365 |
| Mean | 115.0750708 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.3944083392 |
| Sum | 81243 |
| Variance | 15754.67663 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 0 | 9 | 1.3% |
| 220 | 7 | 1.0% |
| 211 | 7 | 1.0% |
| 240 | 6 | 0.8% |
| 223 | 5 | 0.7% |
| 250 | 5 | 0.7% |
| 197 | 5 | 0.7% |
| 196 | 5 | 0.7% |
| 204 | 5 | 0.7% |
| Other values (150) | 291 |
| Value | Count | Frequency (%) |
| 0 | 9 | 1.3% |
| 1 | 361 | |
| 85 | 1 | 0.1% |
| 100 | 1 | 0.1% |
| 126 | 1 | 0.1% |
| 129 | 1 | 0.1% |
| 132 | 1 | 0.1% |
| 141 | 1 | 0.1% |
| 147 | 2 | 0.3% |
| 149 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 564 | 1 | |
| 458 | 1 | |
| 417 | 1 | |
| 412 | 1 | |
| 394 | 2 | |
| 365 | 1 | |
| 360 | 1 | |
| 358 | 1 | |
| 354 | 1 | |
| 347 | 1 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2118 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 398 | |
| 0.0 | 308 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.0 | 398 | |
| 0.0 | 308 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1014 | |
| . | 706 | |
| 1 | 398 | 18.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1412 | |
| Other Punctuation | 706 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1014 | |
| 1 | 398 | 28.2% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 706 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2118 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1014 | |
| . | 706 | |
| 1 | 398 | 18.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2118 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1014 | |
| . | 706 | |
| 1 | 398 | 18.8% |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 1.0 | |
|---|---|
| 0.0 | |
| 2.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2118 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 1.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 404 | |
| 0.0 | 225 | |
| 2.0 | 77 | 10.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.0 | 404 | |
| 0.0 | 225 | |
| 2.0 | 77 | 10.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 931 | |
| . | 706 | |
| 1 | 404 | |
| 2 | 77 | 3.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1412 | |
| Other Punctuation | 706 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 931 | |
| 1 | 404 | |
| 2 | 77 | 5.5% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 706 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2118 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 931 | |
| . | 706 | |
| 1 | 404 | |
| 2 | 77 | 3.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2118 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 931 | |
| . | 706 | |
| 1 | 404 | |
| 2 | 77 | 3.6% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2118 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 390 | |
| 0.0 | 316 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.0 | 390 | |
| 0.0 | 316 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1022 | |
| . | 706 | |
| 1 | 390 | 18.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1412 | |
| Other Punctuation | 706 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1022 | |
| 1 | 390 | 27.6% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 706 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2118 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1022 | |
| . | 706 | |
| 1 | 390 | 18.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2118 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1022 | |
| . | 706 | |
| 1 | 390 | 18.4% |
| Distinct | 88 |
|---|---|
| Distinct (%) | 12.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 73.44759207 |
| Minimum | 1 |
|---|---|
| Maximum | 202 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 151 |
| 95-th percentile | 178 |
| Maximum | 202 |
| Range | 201 |
| Interquartile range (IQR) | 150 |
Descriptive statistics
| Standard deviation | 75.98186197 |
|---|---|
| Coefficient of variation (CV) | 1.034504465 |
| Kurtosis | -1.832545843 |
| Mean | 73.44759207 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.1757378525 |
| Sum | 51854 |
| Variance | 5773.243349 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 150 | 19 | 2.7% |
| 160 | 16 | 2.3% |
| 140 | 14 | 2.0% |
| 170 | 13 | 1.8% |
| 172 | 10 | 1.4% |
| 162 | 9 | 1.3% |
| 142 | 9 | 1.3% |
| 120 | 9 | 1.3% |
| 152 | 8 | 1.1% |
| Other values (78) | 238 |
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 69 | 1 | 0.1% |
| 80 | 1 | 0.1% |
| 86 | 2 | 0.3% |
| 90 | 1 | 0.1% |
| 96 | 3 | 0.4% |
| 97 | 1 | 0.1% |
| 98 | 2 | 0.3% |
| 99 | 1 | 0.1% |
| 100 | 5 | 0.7% |
| Value | Count | Frequency (%) |
| 202 | 1 | 0.1% |
| 194 | 1 | 0.1% |
| 192 | 1 | 0.1% |
| 190 | 2 | |
| 188 | 1 | 0.1% |
| 187 | 1 | 0.1% |
| 186 | 2 | |
| 185 | 4 | |
| 184 | 4 | |
| 182 | 3 |
| Distinct | 66 |
|---|---|
| Distinct (%) | 9.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 38.90509915 |
| Minimum | 1 |
|---|---|
| Maximum | 134 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 76.75 |
| 95-th percentile | 98 |
| Maximum | 134 |
| Range | 133 |
| Interquartile range (IQR) | 75.75 |
Descriptive statistics
| Standard deviation | 40.30332935 |
|---|---|
| Coefficient of variation (CV) | 1.03593951 |
| Kurtosis | -1.615820873 |
| Mean | 38.90509915 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.273178687 |
| Sum | 27467 |
| Variance | 1624.358357 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 80 | 17 | 2.4% |
| 84 | 14 | 2.0% |
| 73 | 12 | 1.7% |
| 75 | 12 | 1.7% |
| 90 | 11 | 1.6% |
| 74 | 11 | 1.6% |
| 78 | 11 | 1.6% |
| 98 | 11 | 1.6% |
| 76 | 11 | 1.6% |
| Other values (56) | 235 |
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 46 | 1 | 0.1% |
| 49 | 2 | 0.3% |
| 50 | 2 | 0.3% |
| 51 | 1 | 0.1% |
| 52 | 4 | 0.6% |
| 53 | 2 | 0.3% |
| 54 | 4 | 0.6% |
| 55 | 1 | 0.1% |
| 56 | 3 | 0.4% |
| Value | Count | Frequency (%) |
| 134 | 1 | 0.1% |
| 125 | 3 | |
| 124 | 1 | 0.1% |
| 120 | 2 | |
| 119 | 1 | 0.1% |
| 116 | 1 | 0.1% |
| 115 | 1 | 0.1% |
| 112 | 2 | |
| 110 | 3 | |
| 105 | 2 |
| Distinct | 57 |
|---|---|
| Distinct (%) | 8.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 86.00283286 |
| Minimum | 1 |
|---|---|
| Maximum | 240 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 172 |
| 95-th percentile | 200 |
| Maximum | 240 |
| Range | 239 |
| Interquartile range (IQR) | 171 |
Descriptive statistics
| Standard deviation | 88.70905504 |
|---|---|
| Coefficient of variation (CV) | 1.031466663 |
| Kurtosis | -1.831060575 |
| Mean | 86.00283286 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.1589203153 |
| Sum | 60718 |
| Variance | 7869.296446 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 180 | 43 | 6.1% |
| 160 | 36 | 5.1% |
| 170 | 32 | 4.5% |
| 190 | 31 | 4.4% |
| 200 | 28 | 4.0% |
| 140 | 16 | 2.3% |
| 150 | 16 | 2.3% |
| 145 | 10 | 1.4% |
| 220 | 10 | 1.4% |
| Other values (47) | 123 | 17.4% |
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 84 | 1 | 0.1% |
| 112 | 1 | 0.1% |
| 116 | 1 | 0.1% |
| 120 | 2 | 0.3% |
| 124 | 2 | 0.3% |
| 130 | 1 | 0.1% |
| 134 | 1 | 0.1% |
| 135 | 2 | 0.3% |
| 136 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 240 | 4 | 0.6% |
| 235 | 1 | 0.1% |
| 232 | 1 | 0.1% |
| 230 | 6 | |
| 228 | 1 | 0.1% |
| 224 | 1 | 0.1% |
| 220 | 10 | |
| 210 | 8 | |
| 208 | 1 | 0.1% |
| 204 | 1 | 0.1% |
| Distinct | 42 |
|---|---|
| Distinct (%) | 5.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 42.95325779 |
| Minimum | 1 |
|---|---|
| Maximum | 134 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 87.5 |
| 95-th percentile | 105.75 |
| Maximum | 134 |
| Range | 133 |
| Interquartile range (IQR) | 86.5 |
Descriptive statistics
| Standard deviation | 44.27828595 |
|---|---|
| Coefficient of variation (CV) | 1.030848141 |
| Kurtosis | -1.759452809 |
| Mean | 42.95325779 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.2138583281 |
| Sum | 30325 |
| Variance | 1960.566606 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=42)
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 80 | 62 | 8.8% |
| 90 | 53 | 7.5% |
| 100 | 46 | 6.5% |
| 70 | 25 | 3.5% |
| 110 | 22 | 3.1% |
| 60 | 13 | 1.8% |
| 78 | 11 | 1.6% |
| 95 | 8 | 1.1% |
| 85 | 7 | 1.0% |
| Other values (32) | 98 | 13.9% |
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 26 | 1 | 0.1% |
| 40 | 2 | 0.3% |
| 45 | 1 | 0.1% |
| 50 | 1 | 0.1% |
| 56 | 1 | 0.1% |
| 58 | 3 | 0.4% |
| 60 | 13 | 1.8% |
| 62 | 2 | 0.3% |
| 64 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 134 | 1 | 0.1% |
| 120 | 6 | 0.8% |
| 118 | 2 | 0.3% |
| 116 | 1 | 0.1% |
| 115 | 2 | 0.3% |
| 110 | 22 | |
| 108 | 1 | 0.1% |
| 106 | 1 | 0.1% |
| 105 | 3 | 0.4% |
| 104 | 7 | 1.0% |
| Distinct | 30 |
|---|---|
| Distinct (%) | 4.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 41.35552408 |
| Minimum | 1 |
|---|---|
| Maximum | 110 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 80 |
| 95-th percentile | 98 |
| Maximum | 110 |
| Range | 109 |
| Interquartile range (IQR) | 79 |
Descriptive statistics
| Standard deviation | 41.87820509 |
|---|---|
| Coefficient of variation (CV) | 1.012638723 |
| Kurtosis | -1.885576639 |
| Mean | 41.35552408 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.12575732 |
| Sum | 29197 |
| Variance | 1753.784062 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=30)
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 80 | 103 | 14.6% |
| 90 | 70 | 9.9% |
| 70 | 38 | 5.4% |
| 100 | 28 | 4.0% |
| 85 | 12 | 1.7% |
| 78 | 11 | 1.6% |
| 84 | 8 | 1.1% |
| 86 | 7 | 1.0% |
| 72 | 7 | 1.0% |
| Other values (20) | 61 | 8.6% |
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 50 | 1 | 0.1% |
| 60 | 4 | 0.6% |
| 64 | 3 | 0.4% |
| 66 | 1 | 0.1% |
| 68 | 2 | 0.3% |
| 70 | 38 | 5.4% |
| 72 | 7 | 1.0% |
| 74 | 6 | 0.8% |
| 75 | 4 | 0.6% |
| Value | Count | Frequency (%) |
| 110 | 2 | 0.3% |
| 106 | 1 | 0.1% |
| 105 | 2 | 0.3% |
| 104 | 1 | 0.1% |
| 102 | 1 | 0.1% |
| 100 | 28 | |
| 98 | 6 | 0.8% |
| 96 | 4 | 0.6% |
| 95 | 7 | 1.0% |
| 94 | 5 | 0.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2118 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 413 | |
| 0.0 | 293 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.0 | 413 | |
| 0.0 | 293 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 999 | |
| . | 706 | |
| 1 | 413 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1412 | |
| Other Punctuation | 706 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 999 | |
| 1 | 413 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 706 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2118 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 999 | |
| . | 706 | |
| 1 | 413 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2118 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 999 | |
| . | 706 | |
| 1 | 413 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2118 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 362 | |
| 0.0 | 344 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.0 | 362 | |
| 0.0 | 344 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1050 | |
| . | 706 | |
| 1 | 362 | 17.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1412 | |
| Other Punctuation | 706 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1050 | |
| 1 | 362 | 25.6% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 706 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2118 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1050 | |
| . | 706 | |
| 1 | 362 | 17.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2118 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1050 | |
| . | 706 | |
| 1 | 362 | 17.1% |
| Distinct | 27 |
|---|---|
| Distinct (%) | 3.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.7205382436 |
| Minimum | -0.5 |
|---|---|
| Maximum | 4.2 |
| Zeros | 215 |
| Zeros (%) | 30.5% |
| Negative | 1 |
| Negative (%) | 0.1% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | -0.5 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 1.5 |
| Maximum | 4.2 |
| Range | 4.7 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 0.577021203 |
|---|---|
| Coefficient of variation (CV) | 0.8008196763 |
| Kurtosis | 2.517200266 |
| Mean | 0.7205382436 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.6098833987 |
| Sum | 508.7 |
| Variance | 0.3329534687 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 1 | 384 | |
| 0 | 215 | |
| 0.6 | 10 | 1.4% |
| 1.5 | 10 | 1.4% |
| 2 | 10 | 1.4% |
| 0.2 | 9 | 1.3% |
| 0.8 | 8 | 1.1% |
| 0.4 | 7 | 1.0% |
| 1.6 | 7 | 1.0% |
| 0.5 | 7 | 1.0% |
| Other values (17) | 39 | 5.5% |
| Value | Count | Frequency (%) |
| -0.5 | 1 | 0.1% |
| 0 | 215 | |
| 0.1 | 4 | 0.6% |
| 0.2 | 9 | 1.3% |
| 0.3 | 2 | 0.3% |
| 0.4 | 7 | 1.0% |
| 0.5 | 7 | 1.0% |
| 0.6 | 10 | 1.4% |
| 0.7 | 1 | 0.1% |
| 0.8 | 8 | 1.1% |
| Value | Count | Frequency (%) |
| 4.2 | 1 | 0.1% |
| 3.5 | 1 | 0.1% |
| 3 | 3 | 0.4% |
| 2.6 | 1 | 0.1% |
| 2.4 | 1 | 0.1% |
| 2.3 | 2 | 0.3% |
| 2 | 10 | |
| 1.9 | 2 | 0.3% |
| 1.8 | 3 | 0.4% |
| 1.6 | 7 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 706 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 0 | 345 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 0 | 345 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 0 | 345 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 706 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 0 | 345 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 706 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 0 | 345 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 706 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 361 | |
| 0 | 345 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| df_index | age | sex | cp | trestbps | htn | chol | fbs | restecg | pro | thalach | thalrest | tpeakbps | tpeakbpd | trestbpd | exang | xhypo | oldpeak | num | dataset | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 40.0 | 1.0 | 2.0 | 140.0 | 0.0 | 289.0 | 0.0 | 0.0 | 0.0 | 172.0 | 86.0 | 200.0 | 110.0 | 86.0 | 0.0 | 0.0 | 0.0 | 0 | hungarian |
| 1 | 1 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1 | 1 |
| 2 | 2 | 37.0 | 1.0 | 2.0 | 130.0 | 0.0 | 283.0 | 0.0 | 1.0 | 0.0 | 98.0 | 58.0 | 180.0 | 100.0 | 80.0 | 0.0 | 0.0 | 0.0 | 0 | hungarian |
| 3 | 3 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1 | 1 |
| 4 | 5 | 39.0 | 1.0 | 3.0 | 120.0 | 0.0 | 339.0 | 0.0 | 0.0 | 0.0 | 170.0 | 86.0 | 198.0 | 100.0 | 80.0 | 0.0 | 0.0 | 0.0 | 0 | hungarian |
| 5 | 6 | 45.0 | 0.0 | 2.0 | 130.0 | 0.0 | 237.0 | 0.0 | 0.0 | 0.0 | 170.0 | 90.0 | 200.0 | 106.0 | 84.0 | 0.0 | 0.0 | 0.0 | 0 | hungarian |
| 6 | 7 | 54.0 | 1.0 | 2.0 | 110.0 | 0.0 | 208.0 | 0.0 | 0.0 | 0.0 | 142.0 | 56.0 | 220.0 | 70.0 | 70.0 | 0.0 | 0.0 | 0.0 | 0 | hungarian |
| 7 | 8 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1 | 1 |
| 8 | 9 | 48.0 | 0.0 | 2.0 | 120.0 | 0.0 | 284.0 | 0.0 | 0.0 | 0.0 | 120.0 | 72.0 | 140.0 | 80.0 | 80.0 | 0.0 | 0.0 | 0.0 | 0 | hungarian |
| 9 | 10 | 37.0 | 0.0 | 3.0 | 130.0 | 0.0 | 211.0 | 0.0 | 0.0 | 0.0 | 142.0 | 57.0 | 180.0 | 100.0 | 80.0 | 0.0 | 0.0 | 0.0 | 0 | hungarian |
Last rows
| df_index | age | sex | cp | trestbps | htn | chol | fbs | restecg | pro | thalach | thalrest | tpeakbps | tpeakbpd | trestbpd | exang | xhypo | oldpeak | num | dataset | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 696 | 888 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1 | 1 |
| 697 | 889 | 68.0 | 1.0 | 3.0 | 134.0 | 1.0 | 254.0 | 1.0 | 0.0 | 0.0 | 151.0 | 63.0 | 174.0 | 110.0 | 80.0 | 1.0 | 0.0 | 0.0 | 0 | long-beach-va |
| 698 | 890 | 51.0 | 0.0 | 4.0 | 114.0 | 1.0 | 258.0 | 1.0 | 2.0 | 0.0 | 96.0 | 52.0 | 140.0 | 96.0 | 74.0 | 0.0 | 0.0 | 1.0 | 0 | long-beach-va |
| 699 | 891 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1 | 1 |
| 700 | 892 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1 | 1 |
| 701 | 893 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1 | 1 |
| 702 | 894 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1 | 1 |
| 703 | 895 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1 | 1 |
| 704 | 897 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1 | 1 |
| 705 | 899 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1 | 1 |